76 FR 53419 - Procurement List; Proposed Additions

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-26

...., Farmville, VA. Service Type/Location: Grounds Maintenance, Air Force Research Laboratory Stockbridge Test... Activity: Dept. of the Air Force, FA8751 AFRL RIKO, Rome, NY. Patricia Briscoe, Deputy Director, Business...

76 FR 65501 - Procurement List Additions

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-21

... (CG-912), Washington, DC. Service Type/Location: Grounds Maintenance, Air Force Research Laboratory.... Contracting Activity: Dept of the Air Force, FA8751 AFRL RIKO, Rome, NY. Patricia Briscoe, Deputy Director...

Thermostability of Hybrid Thermoelectric Materials Consisting of Poly(Ni-ethenetetrathiolate), Polyimide and Carbon Nanotubes

PubMed Central

Oshima, Keisuke; Sadakata, Shifumi; Shiraishi, Yukihide; Toshima, Naoki

2017-01-01

Three-component organic/inorganic hybrid films were fabricated by drop-casting the mixed dispersion of nanodispersed-poly(nickel 1,1,2,2-ethenetetrathiolate) (nano-PETT), polyimide (PI) and super growth carbon nanotubes (SG-CNTs) in N-methylpyrrolidone (NMP) at the designed ratio on a substrate. The dried nano-PETT/PI/SG-CNT hybrid films were prepared by the stepwise cleaning of NMP and methanol, and were dried once more. The thermoelectric properties of Seebeck coefficient S and electrical conductivity σ were measured by a thin-film thermoelectric measurement system ADVANCE RIKO ZEM-3M8 at 330–380 K. The electrical conductivity of nano-PETT/PI/SG-CNT hybrid films increased by 1.9 times for solvent treatment by clearing insulated of polymer. In addition, the density of nano-PETT/PI/SG-CNT hybrid films decreased 1.31 to 0.85 g·cm−3 with a decrease in thermal conductivity from 0.18 to 0.12 W·m−1·K−1. To evaluate the thermostability of nano-PETT/PI/SG-CNT hybrid films, the samples were kept at high temperature and the temporal change of thermoelectric properties was measured. The nano-PETT/PI/SG-CNT hybrid films were rather stable at 353 K and kept their power factor even after 4 weeks. PMID:28773182

EconoMe-Develop - a calculation tool for multi-risk assessment and benefit-cost-analysis

NASA Astrophysics Data System (ADS)

Bründl, M.

2012-04-01

Public money is used to finance the protection of human life, material assets and the environment against natural hazards. This limited resource should be used in a way that it achieves the maximum possible effect by minimizing as many risks as possible. Hence, decision-makers are facing the question which mitigation measures should be prioritised. Benefit-Cost-Analysis (BCA) is a recognized method for determining the economic efficiency of investments in mitigation measures. In Switzerland, the Federal Office for the Environment (FOEN) judges the benefit-cost-ratio of mitigation projects on the base of the results of the calculation tool "EconoMe" [1]. The check of the economic efficiency of mitigation projects with an investment of more than 1 million CHF (800,000 EUR) by using "EconoMe" is mandatory since 2008 in Switzerland. Within "EconoMe", most calculation parameters cannot be changed by the user allowing for comparable results. Based on the risk guideline "RIKO" [2] an extended version of the operational version of "EconoMe", called "EconoMe-Develop" was developed. "EconoMe-Develop" is able to deal with various natural hazard processes and thus allows multi-risk assessments, since all restrictions of the operational version of "EconoMe" like e.g. the number of scenarios and expositions, vulnerability, spatial probability of processes and probability of presence of objects, are not existing. Additionally, the influences of uncertainty of calculation factors, like e.g. vulnerability, on the final results can be determined. "EconoMe-Develop" offers import and export of data, e.g. results of GIS-analysis. The possibility for adapting the tool to user specific requirements makes EconoMe-Develop an easy-to-use tool for risk assessment and assessment of economic efficiency of mitigation projects for risk experts. In the paper we will present the most important features of the tool and we will illustrate the application by a practical example.

Sectoral Vulnerabilities to Changing Water Resources: Current and Future Tradeoffs between Supply and Demand in the Conterminous U.S

NASA Astrophysics Data System (ADS)

Meldrum, J.; Averyt, K.; Caldwell, P.; Sun, G.; Huber-lee, A. T.; McNulty, S.

2012-12-01

., Rogers, J., and Tellinghuisen, S. 2011. Freshwater use by US power plants: electricity's thirst for a precious resource. A report of the Energy and Water in a Warming World initiative, Cambridge, MA: Union of Concerned Scientists, 52 pp. Caldwell, P., Sun, G., McNulty, S., Cohen, E., and Moore Myers, J. 2011. Modeling Impacts of Environmental Change on Ecosystem Services across the Conterminous United States, in: Proceedings of the Fourth Interagency Conference on Research in the Watersheds, Fairbanks, AK, 26-30 Sept 2011, 63-69. Kenny, J., Barber, N., Hutson, S., Linsey, K., Lovelace, J., and Maupin, M. 2009. Estimated use of water in the United States in 2005. US Geological Survey Circular 1344, 52 pp. Milly, P. C. D., Dunne, K. A., and Vecchia, A. V. 2005. Global pattern of trends in streamflow and water availability in a changing climate. Nature 438(7066):347-350. Sun, G., McNulty, S., Moore Myers, J., and Cohen, E. 2008. Impacts of multiple stresses on water demand and supply across the Southeastern United States. Journal of American Water Resources Association 44(6):1441-1457. Sun, G., Caldwell, P., Noormets, A., Cohen, E., McNulty, S., Treasure, E., Domec, J., Mu, Q., Xiao, J., John, R., and Chen, J. 2011. Upscaling key ecosystem functions across the Conterminous United States by a water-centric ecosystem model, J. Geophys. Res., 116.

Comparison of publically available Moho depth and crustal thickness grids with newly derived grids by 3D gravity inversion for the High Arctic region.

NASA Astrophysics Data System (ADS)

Lebedeva-Ivanova, Nina; Gaina, Carmen; Minakov, Alexander; Kashubin, Sergey

2016-04-01

deep Arctic Ocean: results of a 3D gravity modeling Russian Geology and Geophysics 54, 247-262. Jakobsson M, Mayer L, Coakley B, Dowdeswell JA, Forbes S, Fridman B, Hodnesdal H, Noormets R, Pedersen R, Rebesco M, Schenke HW, Zarayskaya Y, Accettella D, Armstrong A, Anderson RM, Bienhoff P, Camerlenghi A, Church I, Edwards M, Gardner JV, Hall JK, Hell B, Hestvik O, Krist-offersen Y, Marcussen C, Mohammad R, Mosher D, Nghiem SV, Pedrosa MT, Travaglini PG, Weatherall P (2012). The international bathymetric chart of the Arctic Ocean (IBCAO) version 3.0. Geophys Res Lett 39, L12609. Laske, G., Masters., G., Ma, Z. and Pasyanos, M. (2013). Update on CRUST1.0 - A 1-degree Global Model of Earth's Crust, Geophys. Res. Abstracts, 15, Abstract EGU2013-2658, 2013. Minakov A, Faleide JI, Glebovsky VY, Mjelde R (2012) Structure and evolution of the northern Barents-Kara Sea continental margin from integrated analysis of potential fields, bathymetry and sparse seismic data. Geophys J Int 188, 79-102. Petrov O., Smelror M., Shokalsky S., Morozov A., Kashubin S., Grikurov G., Sobolev N., Petrov E., (2013). A new international tectonic map of the Arctic (TeMAr) at 1:5 M scale and geodynamic evolution in the Arctic region. EGU2013-13481. Reguzzoni, M., & Sampietro, D. (2014). GEMMA: An Earth crustal model based on GOCE satellite data. International Journal of Applied Earth Observation and Geoinformation Spasojevic S. & Gurnis M., (2012). Sea level and vertical motion of continents from dynamic earth models since the late Cretaceous. American Association of Petroleum Geologists Bulletin, 96, pp. 2037-2064.